Morone Giovanni, Tramontano Marco, Paolucci Stefano, Cerasa Antonio, Ciancarelli Irene, Martino Cinnera Alex, Iosa Marco, Calabrò Rocco Salvatore
Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
San Raffaele Sulmona, Sulmona, Italy.
Front Neurol. 2025 Jan 29;16:1506889. doi: 10.3389/fneur.2025.1506889. eCollection 2025.
Robot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use in clinical and research settings, there are still significant needs to be made concerning clinical indications. In the present perspective manuscript, we provide some hypotheses of the suitability of different RAAT according to the features of the available devices and clinical characteristics, showing their limitations and strengths. Several factors were considered in the optimization of RAAT intervention, including the technological characteristics of the devices (e.g., support and constriction), the residual upper limb motor function, and the clinical phase of stroke. Finally, we outline key areas for improvement to advance the field in the near future and provide neuroscientific bases for hypotheses of tailored RAAT training to improve the outcome of robotic rehabilitation.
机器人辅助手臂训练（RAAT）已显示出在改善神经系统疾病患者，尤其是中风患者的康复效果方面具有广阔的潜力。尽管它们在临床和研究环境中已使用了20年，但在临床适应症方面仍有很大的改进空间。在本观点性手稿中，我们根据现有设备的特点和临床特征，提出了不同RAAT适用性的一些假设，展示了它们的局限性和优势。在优化RAAT干预时考虑了几个因素，包括设备的技术特征（如支撑和约束）、上肢残余运动功能以及中风的临床阶段。最后，我们概述了近期该领域需要改进的关键领域，并为定制RAAT训练以改善机器人康复效果的假设提供神经科学依据。
